I’m Kotaro Muramoto, CEO of JOBs Japan. Here’s a success story showing how expertise in AI/ML and large-scale data can lead to a rewarding career in Japan.

Candidate Profile

• Nationality: India

• Experience: Worked at startups and global corporations across India, the US, and Japan

• Strengths:

  • Development using AI/ML models including LLMs, TTS, and deep learning

  • Big Data processing & cloud infrastructure optimization

  • Skilled in architecture design, performance tuning, and end-to-end implementation

Tech Stack:

• Languages: Python, Go, TypeScript, Scala

• Frameworks: FastAPI, PySpark

• Cloud/Infra: AWS (Lambda, S3, RDS, MSK), GCP

• Big Data: Apache Hudi, Kafka, Spark

• AI/ML: LLM, deep learning, TTS models

The Hiring Company

The employer is a leading innovation management company in Japan.

• Mission: support corporations in turning technology & ideas into successful businesses.

• Current project: using LLMs and AI to analyze massive global startup data, enabling companies and governments to collaborate with overseas startups more effectively.

• This engineer became the third hire on a growing AI development team.

Why This Candidate Was Chosen

1. Strong AI/ML expertise — not only research but practical product development.

2. Scalability & Optimization — experience improving large-scale data processing and cloud efficiency.

3. Global work background — worked in multiple countries, adaptable to cross-cultural teams.

4. Versatility — ability to contribute to architecture, infrastructure, and applied machine learning.

Outcome

• Annual salary: ¥6,000,000

• Role: AI/ML Engineer in an innovation team, focusing on data analysis, AI product development, and infrastructure optimization.

• Future: Expected to play a key role in strengthening the company’s technical foundation and driving innovation.

Takeaways for Job-Seekers

• If you have AI/ML experience, showcase projects where you applied models to solve real business problems (not just academic research).

• Highlight your ability to handle large datasets, cloud optimization, and system architecture — companies value scalability and efficiency.

• A global background + adaptability is attractive to Japanese employers working with international data and teams.

• Don’t just list skills — show how your work improved performance, reduced costs, or accelerated development.

👉 This story shows that with strong AI/ML + big data skills, and readiness to work in global teams, you can land highly rewarding opportunities in Japan.